DLA-102-X / README.md
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v0.47.0
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metadata
library_name: pytorch
license: other
tags:
  - backbone
  - bu_auto
  - android
pipeline_tag: image-classification

DLA-102-X: Optimized for Qualcomm Devices

dla is a machine learning model that can classify images from the Imagenet dataset. It is a architecture which can be used as backbone.

This is based on the implementation of DLA-102-X found here. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here.

Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up to run these models on a hosted Qualcomm® device.

Getting Started

There are two ways to deploy this model on your device:

Option 1: Download Pre-Exported Models

Below are pre-exported model assets ready for deployment.

Runtime Precision Chipset SDK Versions Download
ONNX float Universal QAIRT 2.42, ONNX Runtime 1.24.1 Download
ONNX w8a8 Universal QAIRT 2.42, ONNX Runtime 1.24.1 Download
QNN_DLC float Universal QAIRT 2.43 Download
QNN_DLC w8a8 Universal QAIRT 2.43 Download
TFLITE float Universal QAIRT 2.43, TFLite 2.17.0 Download
TFLITE w8a8 Universal QAIRT 2.43, TFLite 2.17.0 Download

For more device-specific assets and performance metrics, visit DLA-102-X on Qualcomm® AI Hub.

Option 2: Export with Custom Configurations

Use the Qualcomm® AI Hub Models Python library to compile and export the model with your own:

  • Custom weights (e.g., fine-tuned checkpoints)
  • Custom input shapes
  • Target device and runtime configurations

This option is ideal if you need to customize the model beyond the default configuration provided here.

See our repository for DLA-102-X on GitHub for usage instructions.

Model Details

Model Type: Model_use_case.image_classification

Model Stats:

  • Model checkpoint: Imagenet
  • Input resolution: 224x224
  • Number of parameters: 26.3M
  • Model size (float): 100 MB

Performance Summary

Model Runtime Precision Chipset Inference Time (ms) Peak Memory Range (MB) Primary Compute Unit
DLA-102-X ONNX float Snapdragon® X Elite 2.941 ms 54 - 54 MB NPU
DLA-102-X ONNX float Snapdragon® 8 Gen 3 Mobile 1.882 ms 0 - 156 MB NPU
DLA-102-X ONNX float Qualcomm® QCS8550 (Proxy) 2.64 ms 0 - 58 MB NPU
DLA-102-X ONNX float Qualcomm® QCS9075 3.975 ms 0 - 4 MB NPU
DLA-102-X ONNX float Snapdragon® 8 Elite For Galaxy Mobile 1.565 ms 0 - 107 MB NPU
DLA-102-X ONNX float Snapdragon® 8 Elite Gen 5 Mobile 1.199 ms 1 - 108 MB NPU
DLA-102-X ONNX float Snapdragon® X2 Elite 1.322 ms 54 - 54 MB NPU
DLA-102-X ONNX w8a8 Snapdragon® X Elite 1.624 ms 27 - 27 MB NPU
DLA-102-X ONNX w8a8 Snapdragon® 8 Gen 3 Mobile 1.016 ms 0 - 149 MB NPU
DLA-102-X ONNX w8a8 Qualcomm® QCS6490 73.007 ms 17 - 33 MB CPU
DLA-102-X ONNX w8a8 Qualcomm® QCS8550 (Proxy) 1.404 ms 0 - 33 MB NPU
DLA-102-X ONNX w8a8 Qualcomm® QCS9075 1.64 ms 0 - 3 MB NPU
DLA-102-X ONNX w8a8 Qualcomm® QCM6690 40.666 ms 14 - 25 MB CPU
DLA-102-X ONNX w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.881 ms 0 - 117 MB NPU
DLA-102-X ONNX w8a8 Snapdragon® 7 Gen 4 Mobile 38.594 ms 16 - 27 MB CPU
DLA-102-X ONNX w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.738 ms 0 - 120 MB NPU
DLA-102-X ONNX w8a8 Snapdragon® X2 Elite 0.731 ms 28 - 28 MB NPU
DLA-102-X QNN_DLC float Snapdragon® X Elite 3.147 ms 1 - 1 MB NPU
DLA-102-X QNN_DLC float Snapdragon® 8 Gen 3 Mobile 2.001 ms 0 - 151 MB NPU
DLA-102-X QNN_DLC float Qualcomm® QCS8275 (Proxy) 14.356 ms 1 - 102 MB NPU
DLA-102-X QNN_DLC float Qualcomm® QCS8550 (Proxy) 2.876 ms 1 - 2 MB NPU
DLA-102-X QNN_DLC float Qualcomm® QCS9075 4.228 ms 1 - 3 MB NPU
DLA-102-X QNN_DLC float Qualcomm® QCS8450 (Proxy) 4.483 ms 0 - 125 MB NPU
DLA-102-X QNN_DLC float Snapdragon® 8 Elite For Galaxy Mobile 1.608 ms 0 - 103 MB NPU
DLA-102-X QNN_DLC float Snapdragon® 8 Elite Gen 5 Mobile 1.232 ms 0 - 105 MB NPU
DLA-102-X QNN_DLC float Snapdragon® X2 Elite 1.687 ms 1 - 1 MB NPU
DLA-102-X QNN_DLC w8a8 Snapdragon® X Elite 1.595 ms 0 - 0 MB NPU
DLA-102-X QNN_DLC w8a8 Snapdragon® 8 Gen 3 Mobile 0.93 ms 0 - 131 MB NPU
DLA-102-X QNN_DLC w8a8 Qualcomm® QCS6490 3.984 ms 0 - 2 MB NPU
DLA-102-X QNN_DLC w8a8 Qualcomm® QCS8275 (Proxy) 3.269 ms 0 - 103 MB NPU
DLA-102-X QNN_DLC w8a8 Qualcomm® QCS8550 (Proxy) 1.358 ms 0 - 2 MB NPU
DLA-102-X QNN_DLC w8a8 Qualcomm® QCS9075 1.584 ms 2 - 4 MB NPU
DLA-102-X QNN_DLC w8a8 Qualcomm® QCM6690 10.622 ms 0 - 230 MB NPU
DLA-102-X QNN_DLC w8a8 Qualcomm® QCS8450 (Proxy) 1.871 ms 0 - 131 MB NPU
DLA-102-X QNN_DLC w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.795 ms 0 - 104 MB NPU
DLA-102-X QNN_DLC w8a8 Snapdragon® 7 Gen 4 Mobile 1.722 ms 0 - 101 MB NPU
DLA-102-X QNN_DLC w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.659 ms 0 - 107 MB NPU
DLA-102-X QNN_DLC w8a8 Snapdragon® X2 Elite 0.93 ms 0 - 0 MB NPU
DLA-102-X TFLITE float Snapdragon® 8 Gen 3 Mobile 1.985 ms 0 - 214 MB NPU
DLA-102-X TFLITE float Qualcomm® QCS8275 (Proxy) 14.342 ms 0 - 162 MB NPU
DLA-102-X TFLITE float Qualcomm® QCS8550 (Proxy) 2.765 ms 0 - 2 MB NPU
DLA-102-X TFLITE float Qualcomm® QCS9075 4.257 ms 0 - 57 MB NPU
DLA-102-X TFLITE float Qualcomm® QCS8450 (Proxy) 4.474 ms 0 - 180 MB NPU
DLA-102-X TFLITE float Snapdragon® 8 Elite For Galaxy Mobile 1.586 ms 0 - 165 MB NPU
DLA-102-X TFLITE float Snapdragon® 8 Elite Gen 5 Mobile 1.225 ms 0 - 163 MB NPU
DLA-102-X TFLITE w8a8 Snapdragon® 8 Gen 3 Mobile 0.824 ms 0 - 135 MB NPU
DLA-102-X TFLITE w8a8 Qualcomm® QCS6490 3.593 ms 0 - 29 MB NPU
DLA-102-X TFLITE w8a8 Qualcomm® QCS8275 (Proxy) 2.925 ms 0 - 99 MB NPU
DLA-102-X TFLITE w8a8 Qualcomm® QCS8550 (Proxy) 1.12 ms 0 - 2 MB NPU
DLA-102-X TFLITE w8a8 Qualcomm® QCS9075 1.375 ms 0 - 29 MB NPU
DLA-102-X TFLITE w8a8 Qualcomm® QCM6690 10.063 ms 0 - 208 MB NPU
DLA-102-X TFLITE w8a8 Qualcomm® QCS8450 (Proxy) 1.753 ms 0 - 136 MB NPU
DLA-102-X TFLITE w8a8 Snapdragon® 8 Elite For Galaxy Mobile 0.717 ms 0 - 92 MB NPU
DLA-102-X TFLITE w8a8 Snapdragon® 7 Gen 4 Mobile 1.487 ms 0 - 92 MB NPU
DLA-102-X TFLITE w8a8 Snapdragon® 8 Elite Gen 5 Mobile 0.59 ms 0 - 102 MB NPU

License

  • The license for the original implementation of DLA-102-X can be found here.

References

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